# Python Machine Learning Advanced

Canonical URL: <https://www.careercenters.com/courses/advanced-machine-learning>

## Overview

This hands-on course explores Natural Language Processing (NLP) and building Flask web apps that put machine learning into action. You’ll clean and process text with RegEx and lemmatization, perform sentiment analysis with Naive Bayes, TextBlob, and Vader, and build a movie recommendation system using TF–IDF and cosine similarity. Along the way, you’ll learn Flask fundamentals, dynamic HTML templating, and API integration to bring in live data. By the end, you’ll deploy a full Movie Recommender App, giving you real-world experience in applied ML and web development.

## What you'll learn

- Build a complete NLP pipeline, including cleaning with RegEx, removing stopwords, lemmatizing, and vectorizing text.
- Train and evaluate a Naive Bayes machine learning model to classify movie reviews as positive or negative.
- Compare and apply pre-trained sentiment scoring systems such as TextBlob and Vader.
- Develop a recommendation engine that suggests similar products using NLP techniques.
- Learn Flask fundamentals by creating search apps, integrating APIs, and serving ML models in the browser.
- Complete a capstone project by building a Flask-powered Movie Recommender App that brings together NLP, machine learning, and web development.

## Schedule
- Oct 15, 2026 – Oct 21, 2026 — Live Online
- Dec 7, 2026 – Dec 11, 2026 — Live Online
- Feb 22, 2027 – Feb 26, 2027 — Live Online
- Jun 21, 2027 – Jun 25, 2027 — Live Online
- Aug 16, 2027 – Aug 20, 2027 — Live Online

## Pricing

**Tuition:** $0